Tag Archives: GeoTime

Analyzing the Libya Crisis Map Data in 3D (Video)

I first blogged about GeoTime exactly two years ago in a blog post entitled “GeoTime: Crisis Mapping in 3D.” The rationale for visualizing geospatial data in 3D very much resonates with me and in my opinion becomes particularly compelling when analyzing crisis mapping data.

This is why I invited my GeoTime colleague Adeel Khamisa to present their platform at the first International Conference on Crisis Mapping (ICCM 2009). Adeel used the Ushahidi-Haiti data to demonstrate the added value of using a 3D approach, which you can watch in the short video below.

Earlier this year, I asked Adeel whether he might be interested in analyzing the Libya Crisis Map data using GeoTime. He was indeed curious and kindly produced the short video below on his preliminary findings.

The above visual overview of the Libya data is really worth watching. I hope that fellow Crisis Mappers will consider making more use of GeoTime in their projects. The platform really is ideal for Crisis Mapping Analysis.

GeoTime: Crisis Mapping Analysis in 3D

I just came across GeoTime, a very neat GIS platform for network analyis in time and space. GeoTime is developed by a company called Oculus and does a great job in presenting an appealing 3D visual interface for the temporal analysis of geo-referenced data. The platform integrates timeline comparisons, chart statistics and network analysis tools to support decision making. GeoTime also includes plug-ins for Excel and ArcGIS.


GeoTime includes a number of important functionalities including:

  • Movement trails: to display the history and behavior as paths in space-time;
  • Animation: to play back sequences and see how events unfold. Both the direction and speed of the animation can be adjusted.
  • Pattern recognition: to automatically identify key behaviors.
  • Annotate and Sketch: to add notes directly in the scene and save views as reports.
  • Fast Maps: to automatically adjust level of detail.
  • Interactive Chain and Network Analysis: to identify related events.


Below is an excerpt of a video demo of GeoTime which is well worth watching to get a sense of how these functionalities come into play:

The demo above uses hurricane data to highlight GeoTime’s integrated functionalities. But the application can be used to analyze a wide range of data such as crime incidents to identify patterns in space and time. A demo for that is avaiable here.


My interest in GeoTime stems from it’s potential application to analyzing conflict datasets. Problem is, the platform will set you back a cool $3,925. They do have a university rate of $1,675 but what’s missing is a rate for humanitarian NGOs or even a limited trial version.

Patrick Philippe Meier